mradermacher/zen-nano-instruct-GGUF
1
0
Fork 0
Code Issues Pull Requests Actions Projects Releases Wiki Activity

初始化项目，由ModelHub XC社区提供模型

Browse Source 
Model: mradermacher/zen-nano-instruct-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-06-18 09:02:17 +08:00
commit 5e5dd6bd7f
14 changed files with 159 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

47
.gitattributes vendored Normal file
View File

@@ -0,0 +1,47 @@
*.7z filter=lfs diff=lfs merge=lfs -text
*.arrow filter=lfs diff=lfs merge=lfs -text
*.bin filter=lfs diff=lfs merge=lfs -text
*.bz2 filter=lfs diff=lfs merge=lfs -text
*.ckpt filter=lfs diff=lfs merge=lfs -text
*.ftz filter=lfs diff=lfs merge=lfs -text
*.gz filter=lfs diff=lfs merge=lfs -text
*.h5 filter=lfs diff=lfs merge=lfs -text
*.joblib filter=lfs diff=lfs merge=lfs -text
*.lfs.* filter=lfs diff=lfs merge=lfs -text
*.mlmodel filter=lfs diff=lfs merge=lfs -text
*.model filter=lfs diff=lfs merge=lfs -text
*.msgpack filter=lfs diff=lfs merge=lfs -text
*.npy filter=lfs diff=lfs merge=lfs -text
*.npz filter=lfs diff=lfs merge=lfs -text
*.onnx filter=lfs diff=lfs merge=lfs -text
*.ot filter=lfs diff=lfs merge=lfs -text
*.parquet filter=lfs diff=lfs merge=lfs -text
*.pb filter=lfs diff=lfs merge=lfs -text
*.pickle filter=lfs diff=lfs merge=lfs -text
*.pkl filter=lfs diff=lfs merge=lfs -text
*.pt filter=lfs diff=lfs merge=lfs -text
*.pth filter=lfs diff=lfs merge=lfs -text
*.rar filter=lfs diff=lfs merge=lfs -text
*.safetensors filter=lfs diff=lfs merge=lfs -text
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
*.tar.* filter=lfs diff=lfs merge=lfs -text
*.tar filter=lfs diff=lfs merge=lfs -text
*.tflite filter=lfs diff=lfs merge=lfs -text
*.tgz filter=lfs diff=lfs merge=lfs -text
*.wasm filter=lfs diff=lfs merge=lfs -text
*.xz filter=lfs diff=lfs merge=lfs -text
*.zip filter=lfs diff=lfs merge=lfs -text
*.zst filter=lfs diff=lfs merge=lfs -text
*tfevents* filter=lfs diff=lfs merge=lfs -text
zen-nano-instruct.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
zen-nano-instruct.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
zen-nano-instruct.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
zen-nano-instruct.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
zen-nano-instruct.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
zen-nano-instruct.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
zen-nano-instruct.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
zen-nano-instruct.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
zen-nano-instruct.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
zen-nano-instruct.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
zen-nano-instruct.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
zen-nano-instruct.f16.gguf filter=lfs diff=lfs merge=lfs -text

76
README.md Normal file
View File

@@ -0,0 +1,76 @@
---
base_model: zenlm/zen-nano-instruct
language:
- en
library_name: transformers
license: apache-2.0
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- recursive-learning
- self-improvement
- v1.0.1
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static quants of https://huggingface.co/zenlm/zen-nano-instruct
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#zen-nano-instruct-GGUF).***
weighted/imatrix quants are available at https://huggingface.co/mradermacher/zen-nano-instruct-i1-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one of [TheBloke's
READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
more details, including on how to concatenate multi-part files.
## Provided Quants
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
| Link | Type | Size/GB | Notes |
|:-----|:-----|--------:|:------|
| [GGUF](https://huggingface.co/mradermacher/zen-nano-instruct-GGUF/resolve/main/zen-nano-instruct.Q2_K.gguf) | Q2_K | 1.8 | |
| [GGUF](https://huggingface.co/mradermacher/zen-nano-instruct-GGUF/resolve/main/zen-nano-instruct.Q3_K_S.gguf) | Q3_K_S | 2.0 | |
| [GGUF](https://huggingface.co/mradermacher/zen-nano-instruct-GGUF/resolve/main/zen-nano-instruct.Q3_K_M.gguf) | Q3_K_M | 2.2 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/zen-nano-instruct-GGUF/resolve/main/zen-nano-instruct.Q3_K_L.gguf) | Q3_K_L | 2.3 | |
| [GGUF](https://huggingface.co/mradermacher/zen-nano-instruct-GGUF/resolve/main/zen-nano-instruct.IQ4_XS.gguf) | IQ4_XS | 2.4 | |
| [GGUF](https://huggingface.co/mradermacher/zen-nano-instruct-GGUF/resolve/main/zen-nano-instruct.Q4_K_S.gguf) | Q4_K_S | 2.5 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/zen-nano-instruct-GGUF/resolve/main/zen-nano-instruct.Q4_K_M.gguf) | Q4_K_M | 2.6 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/zen-nano-instruct-GGUF/resolve/main/zen-nano-instruct.Q5_K_S.gguf) | Q5_K_S | 2.9 | |
| [GGUF](https://huggingface.co/mradermacher/zen-nano-instruct-GGUF/resolve/main/zen-nano-instruct.Q5_K_M.gguf) | Q5_K_M | 3.0 | |
| [GGUF](https://huggingface.co/mradermacher/zen-nano-instruct-GGUF/resolve/main/zen-nano-instruct.Q6_K.gguf) | Q6_K | 3.4 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/zen-nano-instruct-GGUF/resolve/main/zen-nano-instruct.Q8_0.gguf) | Q8_0 | 4.4 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/zen-nano-instruct-GGUF/resolve/main/zen-nano-instruct.f16.gguf) | f16 | 8.2 | 16 bpw, overkill |
Here is a handy graph by ikawrakow comparing some lower-quality quant
types (lower is better):
![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
And here are Artefact2's thoughts on the matter:
https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
## FAQ / Model Request
See https://huggingface.co/mradermacher/model_requests for some answers to
questions you might have and/or if you want some other model quantized.
## Thanks
I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
me use its servers and providing upgrades to my workstation to enable
this work in my free time.
<!-- end -->

3
zen-nano-instruct.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:676fd08c87f568b521fedfcf0982e64cae4f23d83feb85d52d92728fd0224a29
size 2286314944

3
zen-nano-instruct.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:406b193823c9e80567c8ac622f62110adae79dfc88aac3bc5b8f6c7341f73aaf
size 1669498304

3
zen-nano-instruct.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9f579eb8ae079e7b51f41c06363bc9889c4c6d30d6afe2c633756b07b68863c9
size 2239784384

3
zen-nano-instruct.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:7d99bd9ad6739432b5b492d580366f9fe00cdcab690a802cfa0a0a014b534172
size 2075616704

3
zen-nano-instruct.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9bc2141937f82a8279f50b3f9bf5665f8f135d69d09ad321e67d1de67c7c25ca
size 1886995904

3
zen-nano-instruct.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:766e9dd74ed0f9a2e7c85dac806c197552fbce0f3fc0bb0e65f1418cc46dba42
size 2497279424

3
zen-nano-instruct.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:8a0386f94f6a5f885976bcd70e7e9ed033d45f990d1e8b9f40c42188c85e7efc
size 2383308224

3
zen-nano-instruct.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:73fd8737cfe49d491acc43571484bd7254ab71201c4f5e12f4c64e775718462d
size 2889512384

3
zen-nano-instruct.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f3db3c128b7772fac8abbce2b8dc3900a970b4f743e94e0a42b98ff8e740b696
size 2823710144

3
zen-nano-instruct.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a1f74975db32d99d1937115523ef3f61009c3d903a47e3f0aca0456522b2c34c
size 3306259904

3
zen-nano-instruct.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:787e1d9b955ec8ae94ff321e43b26657a7702b7a5a6a39510b1cb40ffeb969d2
size 4280403904

3
zen-nano-instruct.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:635e96fad044039619a987eb5aeb69001c02c481fc540332155c617521ecbed8
size 8051283904